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different physico-chemical environments to drive self-organisation processes, like condensates, that shape mesoscale structures enabling tissue function. As a Postdoctoral Researcher at the Rosalind Franklin
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for the project. Project Description AMBER Project Overview This project is part of the EU co-funded research initiative AMBER, Advanced Multiscale Biological Imaging using European Research Infrastructures, which
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Institute, the Biotechnology Resource Center, the University of Minnesota Genomics Center, the Biological Imaging Centers, the University of Minnesota Herbarium of the J. F. Bell Museum of Natural History
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. An important focus of our research is how these abiotic-biotic interactions create value for society, following for example the “Building with Nature” paradigm or investigating sustainable sources of marine
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experienced research technologist and graduate student to harvest and process tissue samples. Perform single cell RNA sequencing of placental and fetal brain samples. Perform histological and imaging analyses
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, the representation and processing of social information in patients with psychiatric conditions remain largely unclear. We use a suite of cutting-edge techniques, including in vivo multi-photon imaging, fiber
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vision, controls, cyber-physical systems and their security, hardware security, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in Matlab
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for collaboration on high-impact publications, networking with leading experts in business power and public policy, and participation in international research events. Application Process Submit a complete
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for personally experienced past events, or episodic memory (EM), using a combination of behavioral, neuroimaging (fMRI) neurophysiology (EEG), and neuromodulation (TMS) methods. Traditional imaging studies focused
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Project The Adaptive Design for AI-Driven Processes in Transforming Dynamic Landscapes (ADAPT) project develops scalable, data-driven design methodologies that transform dynamic environmental processes